Mathematics for machine learning.
(If you wanna become a good programmer then must read ways to become good programmer post).
But if you are planning to start Datascience or Machine learning then definitely you had to learn a lot of maths. Because machine learning and data science are all about maths. Data science is all about working on the data. And if you want to work with data then you should know about data analysis, data preprocessing, filtering, etc. And to do all this things with the data you should have good foundation of mathematics.
1. Calculus
In machine learning, if you want to find maxima and minima by using gradient and decent. Then you should know calculus at the college level. Calculus is used in creating graphs, visuals, to design and analysis of algorithms, etc.
2. Statistics
Data science is all about working on the data and maths. And statistics play a major role in both data science and machine learning both. It is used in finding the mean, mode, or performing step deviation and standard deviation.
3. Linear algebra
4. Vector and Matrices
Vector and matrices both also play a deep role in machine learning and data science. A Computer uses vectors and matrices to solve systems of linear equations. The array data type is also whole based on the matrix.
5. Probability
Machine learning is all about predicting the outcomes from the given data. And probability is a topic which we are taught in school since the 8th standard. From predicting the head and tail of coin probability plays a vital role in machine learning and data science.
So these are the topics that are necessary to know if you want to learn machine learning or data science.
So these are the essential maths topics you need to know for machine learning and data science.
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